When spatial analysis meets OLAP: multidimensional model and operators
| Autor: | Sandro Bimonte, Anne Tchounikine, Maryvonne Miquel, François Pinet |
|---|---|
| Přispěvatelé: | Irstea Publications, Migration, Centre national du machinisme agricole, du génie rural, des eaux et forêts (CEMAGREF), Base de Données (BD), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Université Lumière - Lyon 2 (UL2) |
| Jazyk: | angličtina |
| Rok vydání: | 2010 |
| Předmět: |
Multidimensional analysis
[SDE] Environmental Sciences Geospatial analysis Hierarchy (mathematics) Computer science Online analytical processing 02 engineering and technology computer.software_genre Operator (computer programming) INFORMATION SPATIALE Hardware and Architecture 020204 information systems Component (UML) LAGUNE DE VENISE 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing [INFO]Computer Science [cs] Data mining Dimension (data warehouse) computer Spatial analysis Software |
| Zdroj: | International Journal of DataWarehousing and Mining International Journal of DataWarehousing and Mining, 2010, 4, 6 (4), pp.33-60. ⟨10.4018/jdwm.2010100103⟩ |
| DOI: | 10.4018/jdwm.2010100103⟩ |
| Popis: | International audience; Introducing spatial data into multidimensional models leads to the concept of Spatial OLAP (SOLAP). Existing SOLAP models do not completely integrate the semantic component of geographic information (alphanumeric attributes and relationships) or the flexibility of spatial analysis into multidimensional analysis. In this paper, the authors propose the GeoCube model and its associated operators to overcome these limitations. GeoCube enriches the SOLAP concepts of spatial measure and spatial dimension and take into account the semantic component of geographic information. The authors define geographic measures and dimensions as geographic and/or complex objects belonging to hierarchy schemas. GeoCube’s algebra extends SOLAP operators with five new operators, i.e., Classify, Specialize, Permute, OLAP-Buffer and OLAP-Overlay. In addition to classical drill-and-slice OLAP operators, GeoCube provides two operators for navigating the hierarchy of the measures, and two spatial analysis operators that dynamically modify the structure of the geographic hypercube. Finally, to exploit the symmetrical representation of dimensions and measures, GeoCube provides an operator capable of permuting dimension and measure. In this paper, GeoCube is presented using environmental data on the pollution of the Venetian Lagoon. |
| Databáze: | OpenAIRE |
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